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semantic coherence

A Notion of Semantic Coherence for Underspecified Semantic Representation

A Notion of Semantic Coherence for Underspecified Semantic Representation

... of semantic coherence that not only answers both of these open questions but also solves several other unanswered questions within the context of scope ...

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Semantic Coherence Scoring Using an Ontology

Semantic Coherence Scoring Using an Ontology

... dependent semantic coherence score, ...the semantic coherence score with respect to individual do- mains of the system, thus enabling domain recognition and domain change detection in complex ...

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Automatic Analysis of Semantic Coherence in Academic Abstracts Written in Portuguese

Automatic Analysis of Semantic Coherence in Academic Abstracts Written in Portuguese

... of semantic coherence in academic ...on semantic similar- ity measures and rhetorical ...specific coherence issues on sen- tences with regard to a rhetorical structure model for ...

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Learning to Rank Semantic Coherence for Topic Segmentation

Learning to Rank Semantic Coherence for Topic Segmentation

... The next key problem is how to model and rep- resent text pairs. It is fortunate that neural net- works have emerged as a powerful tool for model- ing text pairs (Lu and Li, 2013; Severyn and Mos- chitti, 2015; Yin et ...

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Optimizing Semantic Coherence in Topic Models

Optimizing Semantic Coherence in Topic Models

... The evaluation of statistical topic models has tra- ditionally been dominated by either extrinsic meth- ods (i.e., using the inferred topics to perform some external task such as information retrieval (Wei and Croft, ...

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Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations

Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations

... Question Answering (Bordes et al., 2014). Word similarity, which numerically measures the extent to which two words are similar, is gen- erally viewed as the most direct intrinsic evalua- tion of these word vector ...

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Temporal Lobes as Combinatory Engines for both Form and Meaning

Temporal Lobes as Combinatory Engines for both Form and Meaning

... Lexical-Semantic Coherence is a significant predictor across a broad network of regions including the ATLs, LPTL, LIPL and ...Lexical-Semantic Coherence, suggesting that the ATLs are also ...

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A coherence analysis module for SciPo: providing suggestions for scientific abstracts written in Portuguese

A coherence analysis module for SciPo: providing suggestions for scientific abstracts written in Portuguese

... By coherence we refer to what makes a group of words or sentences semantically ...that coherence refers to the estab- lishment of a logical connection between sentences within a ...[12]. Coherence ...

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Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?

Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?

... complex information need into a keyword query. The most popular and effective approach to over- come this problem is to improve the representa- tion of the query by adding query-related “con- cepts”. This approach mostly ...

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A Graph Theoretic Framework for Semantic Distance

A Graph Theoretic Framework for Semantic Distance

... our semantic distance measure, the measure is less effective when the semantic profile for a text (the set of corresponding concepts) lacks semantic ...the semantic coherence of a set of ...

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Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition

Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition

... lexical semantic information, simple bag-of-words models usually have a lot of noise; while more sophisticated models considering positional infor- mation have sparsity ...of semantic coherence that ...

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Learning Semantic Representations in a Bigram Language Model

Learning Semantic Representations in a Bigram Language Model

... of semantic representations from ...a semantic component, other factors, ...isolating semantic structure from the ...modelling semantic dependencies within the bigram in terms of the ...

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Novel metrics for evaluating the functional coherence of protein groups via protein semantic network

Novel metrics for evaluating the functional coherence of protein groups via protein semantic network

... the semantic similarities of GO terms or GO graph structure [7-11] to evaluate the func- tion of protein ...approaches, semantic similar- ity or GO graph structure are taken into account to evaluate the ...

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Use of Semantic Knowledge Base for Enhancement of Coherence of Code mixed Topic Based Aspect Clusters

Use of Semantic Knowledge Base for Enhancement of Coherence of Code mixed Topic Based Aspect Clusters

... augment semantic interpretations of code-mixed words across languages in the form of multilingual knowledge Sets ...correct semantic interpreta- tion we had to ensure that code-mixed words shar- ing the ...

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Genuine correlated coherence

Genuine correlated coherence

... correlated coherence C GCC , an analytical proof is ...correlated coherence that involves only a limited number of parties, and coherence that involves many or all ...correlated coherence like ...

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Accuracy of swept-source optical coherence tomography based biometry for intraocular lens power calculation: a retrospective cross–sectional study

Accuracy of swept-source optical coherence tomography based biometry for intraocular lens power calculation: a retrospective cross–sectional study

... For many years, US had been the only technique used to measure AL in clinical practice [2]; however, recently, the use of optical biometry has increased due to advan- tages pertaining to non-invasiveness and ...

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Time-frequency and point process algorithms for cardiac arrhythmia analysis and cardiorespiratory control

Time-frequency and point process algorithms for cardiac arrhythmia analysis and cardiorespiratory control

... We present a maximum likelihood inverse Gaussian point process model for dynamic and instantaneous HRV and RSA estimation from heart beat interval series and respiration recordings. Unlike previous methods, we perform ...

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Macular findings in Spectral Domain Optical Coherence Tomography and OCT Angiography in a patient with Kearns–Sayre syndrome

Macular findings in Spectral Domain Optical Coherence Tomography and OCT Angiography in a patient with Kearns–Sayre syndrome

... Case Presentation: We present the case of a 55-year-old female with KSS, who developed systemic features and ocular manifestations as ophthalmoplegia and retinal dysfunction, that were corroborated by ...

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Evaluation of retinal nerve fiber layer thickness and optic nerve head changes in early to moderate glaucoma patients and compare them with age matched individuals using spectral domain optical coherence tomography

Evaluation of retinal nerve fiber layer thickness and optic nerve head changes in early to moderate glaucoma patients and compare them with age matched individuals using spectral domain optical coherence tomography

... Optical coherence tomography works under the principle of low-coherence interferometry to determine the echo time delay and magnitude of backscattered light reflected off an object of ...Optical ...

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Study of Some Lakes in the North Eastern Romanian Plain Using the Coherence Image of the Tandem Pair (ERS 1 and ERS 2)

Study of Some Lakes in the North Eastern Romanian Plain Using the Coherence Image of the Tandem Pair (ERS 1 and ERS 2)

... Weak coherence between two acquisitions can have several origins: im- portant difference in the angle of incidence between the two acquisitions especially for the slopes directed to- wards the radar sensor; change ...

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